Data reduction and latent variable models

This course provides students with an understanding of, and gives them practice in, the use of data reduction techniques and non-regression based analysis methods such as principal component analysis and factor analysis.

17 June 2015 - 18 June 2015

The course provides a practical understanding of the methods of modelling relationships between latent variables and introduces the basics of structural equation modelling using AMOS. Students need to be familiar with the content of the courses: Statistical analysis 1 and Statistical analysis 2; in particular, the interpretation of correlation matrices and the principles of multiple regression.